Volume 29, Issue 8 e2978
RESEARCH ARTICLE

Performance assessment of self-anchored suspension footbridge using 3D laser scanning

Dong Liang

Corresponding Author

Dong Liang

School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China

Correspondence

Dong Liang, School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.

Email: [email protected]

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Zi-Shu Zhang

Zi-Shu Zhang

School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China

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Cheng-Lin Sui

Cheng-Lin Sui

Tianjin Urban Road and Bridge Management Center, Tianjin, China

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Jie Pu

Jie Pu

School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China

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Li-Chao Su

Li-Chao Su

Hebei Steel-Composite Bridge Technology Innovation Center, Xingtai, China

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Kai Zhao

Kai Zhao

School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, China

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First published: 21 April 2022
Citations: 7

Funding information: Science and Technology Development Program of Tianjin Transportation Commission, Grant/Award Number: 2019-06

Summary

Self-anchored suspension footbridges are widely used in metropolitan area because of their unique shape. Their performance assessment, which is typically performed manually, is labor intensive and prone to error. Developments in three-dimensional (3D) laser scanning enable the precision and efficiency of quality inspection operations to be improved. This paper presents a new approach for assessing the structural performance of a self-anchored suspension footbridge in Tianjin using 3D laser scanning. Based on point-cloud processing and reverse modeling, the deformation of elements can be determined by comparing the difference between two reverse models with a 2-year interval. The proposed approach establishes a holistic assessment framework using the deformation of elements. Results show that 3D laser scanning is suitable for the performance assessment of self-anchored suspension footbridges, thereby validating the applicability of the proposed approach.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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